def gatherStatisticalData(statistics, currentPlayer):
#Add the latest rewar to the statistics class
I = currentPlayer.i
J = currentPlayer.j
statLength = len(statistics)
currentReward = currentPlayer.rewards[I][J]
if statLength != 0:
statistics.append(
currentReward
) #We append the current reward to the array which holds all of the statistical data
previousRewardValue = statistics[
(statLength) -
1] #Now using the iteration counter for the entire game we grab the previous reward
deltaDiff = computeDeltadiff(previousRewardValue, currentReward)
if deltaDiff != 0:
print("Percentage Difference: ", deltaDiff, "%")
print("The current reward is", currentReward)
print("------------------")
return deltaDiff #We compute the percent different between the two rewards in hopes of getting a threshold value that is less than some value for convergence
elif deltaDiff == 0:
#Then we may want to run through a few iterations to see how it plays out
print("Percentage Difference: ", deltaDiff, "%")
print("The current reward is", currentReward)
print("------------------")
return deltaDiff
elif statLength == 0: #Then our statlenghth is = 0
statistics.append(currentReward) #Append the current reward at least
return 100 #Return an abrturary value such as 100 %
screen = pygame.display.set_mode(SIZE, pygame.RESIZABLE)
pygame.display.set_caption("Rental Request Sort")
for i in range(num_res):
TYPE_OF_CAR = r.choice(car_type)
RANDOM_START_TIME = r.randint(1,(y))
NUMBER_OF_HOURS = r.randint(1,(z))
garage_type = r.choice(garage)
st.append(RANDOM_START_TIME)
nh.append(NUMBER_OF_HOURS)
index.append(i)
ct.append(TYPE_OF_CAR)
g.append(garage_type)
s.append('0')
for i in range(num_res):
TYPE_OF_CAR1 = r.choice(car_type)
RANDOM_START_TIME1 = r.randint(1,(y))
NUMBER_OF_HOURS1 = r.randint(1,(z))
garage_type1 = r.choice(garage1)
st1.append(RANDOM_START_TIME1)
nh1.append(NUMBER_OF_HOURS1)
index1.append(i)
ct1.append(TYPE_OF_CAR1)
g1.append(garage_type1)
s1.append('0')
# print(s)
# print(st, nh, index, ct, g)
screen = pygame.display.set_mode(SIZE, pygame.RESIZABLE)
pygame.display.set_caption("Rental Request Sort")
for i in range(num_res):
TYPE_OF_CAR = r.choice(car_type)
RANDOM_START_TIME = r.randint(1,(y))
NUMBER_OF_HOURS = r.randint(1,(z))
garage_type = r.choice(garage)
st.append(RANDOM_START_TIME)
nh.append(NUMBER_OF_HOURS)
index.append(i)
ct.append(TYPE_OF_CAR)
g.append(garage_type)
s.append('-1')
for i in range(num_res):
TYPE_OF_CAR1 = r.choice(car_type)
RANDOM_START_TIME1 = r.randint(1,(y))
NUMBER_OF_HOURS1 = r.randint(1,(z))
garage_type1 = r.choice(garage1)
st1.append(RANDOM_START_TIME1)
nh1.append(NUMBER_OF_HOURS1)
index1.append(i)
ct1.append(TYPE_OF_CAR1)
g1.append(garage_type1)
s1.append('-1')
# print(s)
# print(st, nh, index, ct, g)
d = {
**d,
**len_stats,
**db55l_stats,
**db60l_stats,
**db65l_stats,
**db70l_stats,
**db55r_stats,
**db60r_stats,
**db65r_stats,
**db70r_stats,
**nei_stats,
**nei_norm_stats,
**mdB_stats
}
stats.append(d)
else:
errors.append(key)
print('stats got for:', len(stats), 'axyinds')
print('all paths filtered out for:', len(errors), 'axyinds')
#%% combine stats to DF
stats_df = pd.DataFrame(stats, columns=stats[0].keys())
stats_df.head()
#%% merge grid geoometry to axyind stats
grid_stats = pd.merge(stats_df,
grid,
how='left',
left_on='axyind',
right_on='xyind')